Fonte: Remote Sensing. Unidade: ESALQ
Assuntos: AGRICULTURA DE PRECISÃO, CANA-DE-AÇÚCAR, DIAGNOSE FOLIAR, ESPECTROSCOPIA, FERTILIZANTES NITROGENADOS, NITROGÊNIO, SENSORIAMENTO REMOTO
ABNT
SILVA, Carlos Augusto Alves Cardoso et al. Spatio-temporal generalization of VIS-NIR-SWIR spectral models for nitrogen prediction in sugarcane leaves. Remote Sensing, v. 16, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.3390/rs16224250. Acesso em: 08 out. 2025.APA
Silva, C. A. A. C., Rizzo, R., Silva, M. A. da, Caron, M. L., & Fiorio, P. R. (2024). Spatio-temporal generalization of VIS-NIR-SWIR spectral models for nitrogen prediction in sugarcane leaves. Remote Sensing, 16, 1-18. doi:10.3390/rs16224250NLM
Silva CAAC, Rizzo R, Silva MA da, Caron ML, Fiorio PR. Spatio-temporal generalization of VIS-NIR-SWIR spectral models for nitrogen prediction in sugarcane leaves [Internet]. Remote Sensing. 2024 ; 16 1-18.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/rs16224250Vancouver
Silva CAAC, Rizzo R, Silva MA da, Caron ML, Fiorio PR. Spatio-temporal generalization of VIS-NIR-SWIR spectral models for nitrogen prediction in sugarcane leaves [Internet]. Remote Sensing. 2024 ; 16 1-18.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/rs16224250